Hi Product Hunt community I m building IdeaConnect.world a global platform connecting founders directly with investors. The idea is simple: Founders publish startup/business opportunities Investors discover fresh opportunities and connect directly Key features: Email-only registration Minimal required data AI-powered startup reports Listings stay active for 21 days, keeping opportunities fresh The goal is to simplify early-stage connections and reduce friction between capital and ideas. I m currently validating the concept and would really value honest feedback: 1. Would you personally use a platform like this?
2. What would make you trust such a platform?
3. What is the best way to get the first active users? Thanks
I need a developer efficiency tool that gives me an organized dashboard of my entire work day.
Not just another timer or manual tracker, but something that can show what actually happened during the day across coding, PRs, meetings, docs, Jira, GitHub Issues, Linear, and context switching.
The ideal version would help answer questions like:
I am working on this at the moment, and demo videos feel like one of those startup tasks that hide a surprising amount of work.
You need to decide the screen flow, the script, the voiceover, the editing style, how polished it should be, and how much time is reasonable to spend before it becomes a distraction.
For early-stage products, I am curious what people are actually doing in practice.
Are you recording quick walkthroughs yourself with tools like Loom or Screen Studio, using AI video tools, getting outside help, or just shipping rough demos and improving them later?
I checked my Kitty Points breakdown properly today and it said the opposite of what I believed.
Comments: 37 points across about fifty of them. Forum threads: 23 points across four. So one thread is worth roughly eight comments, and that includes the thread that got three views and no replies at all. It still paid.
Over the past year, I've noticed that discussions around asset tokenization have shifted away from "Will this technology work?" to "How do we build something that's production-ready?"
The technical side of tokenization is only one piece of the puzzle. Once you start planning a platform, you quickly run into questions like:
How much should an MVP actually cost?
Which features are essential for a first release versus later iterations?
Is a permissioned blockchain a better choice than a public network?
How much effort should be allocated to KYC/AML, custody, and compliance from day one?
At what point does it make sense to invest in custom development instead of adapting existing infrastructure?
It also seems that development timelines vary widely depending on the asset class. A platform for tokenized real estate often has different requirements than one built for private equity, commodities, or fixed-income assets.
